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🧙🔮 Welcome to Advanced Analytics Workspace (AAW)

"What we want to do is make a leapfrog product that is way smarter than any mobile device has ever been, and super-easy to use. This is what iPhone is. OK? So, we're going to reinvent the phone." -- Steve Jobs

Please find below additional information, videos and links to help better understand how to get started with Advanced Analytics Workspace (AAW).

Advanced Analytics Workspace (AAW) is an open source platform designed for data science and machine learning (ML) practitioners. Developed by data scientists for data scientists, AAW provides an unrestricted environment that enables advanced practitioners to get their work done with ease.

Built on the Kubeflow project, AAW is a comprehensive solution for deploying and managing end-to-end ML workflows. It simplifies the deployment of ML workflows on Kubernetes, making it simple, portable, and scalable. With AAW, you can customize your notebook deployments to suit your specific data science needs. Additionally, we have a small number of expertly crafted images made by our team of data science experts.

Advanced Analytics Workspace (AAW) is our open source platform for data science and machine learning (ML) for advanced practitioners to get their work done in an unrestricted environment made by data scientists for data scientists. With AAW, you can customize your notebook deployments to suit your data science needs. We also have a small number of expertly crafted images made by our expert data science team.

AAW is based on the Kubeflow project which is an open source comprehensive solution for deploying and managing end-to-end ML workflows. Kubeflow is designed to make deployments of ML workflows on Kubernetes simple, portable and scalable.

🔔 Important! Users external to Statistics Canada will require a cloud account granted access by the business sponsor.

🔔 Important! Users internal to Statistics Canada can get started right away without any additional sign up procedures, just head to https://kubeflow.aaw.cloud.statcan.ca/.

🛎️ AAW Services

The AAW portal homepage is available for internal users only. However, external users with a cloud account granted access by the business sponsor can access the platform through the analytics-platform URL.

💡 Help

The AAW Portal Documentation and Kubeflow Documentation provide helpful resources to get started with AAW. If you need further assistance, our Slack Support Channel is available for support.

🧭 Getting Started

To access AAW services, you need to log in to Kubeflow with your StatCan guest cloud account. Once logged in, select Notebook Servers and click the "New Server" button to get started.

  1. Login to Kubeflow with your StatCan guest cloud account. You will be prompted to authenticate the account.
  2. Select Notebook Servers.
  3. Click the "➕ New Server" button.

🧰 Tools Offered

AAW is a flexible platform for data analysis and machine learning. It offers a range of languages, including Python, R, and Julia. AAW also supports development environments such as VS Code, R Studio, and Jupyter Notebooks. Additionally, Linux virtual desktops are available for users who require additional tools such as OpenM++ and QGIS.

Here's a list of tools we offer:

- 📜 Languages: - 🐍 Python - 📈 R - 👩‍🔬 Julia - 🧮 Development environments: - VS Code - R Studio - Jupyter Notebooks - 🐧 Linux virtual desktops for additional tools (🧫 OpenM++, 🌏 QGIS etc.)

🐱 Demos

If you require a quick onboarding demo session, need help, or have any questions, please reach out to us through our 🤝 Slack Support Channel.

Frequently Asked Questions

For frequently asked questions, please refer to the FAQ section in our Github repository, located here.

Thank you for choosing Advanced Analytics Workspace!